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. degree in any quantitative science, preferably in Computer Science, Electrical and Computer Engineering, Biomedical Engineering, Applied Mathematics, and Neuroscience. Candidate should have a working
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to many areas of physics, materials science, biology, earth science, as well as imaging and data science. There is a strong cohort of activities on applied and computational mathematics within the Fu
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on biomedical imaging and neural engineering. Areas of interest include (but are not limited to): Biomedical Imaging: advanced MRI methods, functional and structural neuroimaging, optical imaging, molecular and
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, and experience, plus three years of related experience. New York State Radiological Technician License. Experience with bone density measurement technology. Proficiency in computer data management and
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of Radiology at Columbia University has research teams applying advanced imaging AI and clinical data science, as well as quantitative disease modeling to address pressing challenges in health outcomes and
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including Diffusion MRI (DTI), high-resolution structural images, resting BOLD fMRI, FLAIR, and tau and amyloid PET. The position will also involve processing of non-imaging data such as behavioral task data
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motivated Research Engineer skilled in computational modeling and basic laboratory techniques to join our dynamic laboratory team. We are working on multiple tissue engineering projects for improving human
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imaging, and device installations under supervision. Help maintain computer labs, shared devices, and classroom or conference room technology. Participate in system maintenance activities, software rollouts
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. The SA-I will be responsible for maintaining and documenting computing and data systems using commercial cloud computing technologies including Docker images and Jupyter hubs and evolving these systems in